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iShares S&P GSCI Commodity-Indexed Trust Stock Price Chart

  • Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and GSG is experiencing slight selling pressure.

iShares S&P GSCI Commodity-Indexed Trust Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 20.95 Buy
20-day SMA: 21.14 Buy
50-day SMA: 21.22 Buy
200-day SMA: 21.59 Sell
8-day EMA: 21.08 Buy
20-day EMA: 21.13 Buy
50-day EMA: 21.19 Buy
200-day EMA: 21.34 Sell

iShares S&P GSCI Commodity-Indexed Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.06 Sell
Relative Strength Index (14 RSI): 51.65 Buy
Chaikin Money Flow: -13182 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (20.9 - 21.4) Buy
Bollinger Bands (100): (20.69 - 21.79) Sell

iShares S&P GSCI Commodity-Indexed Trust Technical Analysis

Technical Analysis: Buy or Sell?
8-day SMA:
20-day SMA:
50-day SMA:
200-day SMA:
8-day EMA:
20-day EMA:
50-day EMA:
200-day EMA:
MACD (12, 26):
Relative Strength Index (14 RSI):
Bollinger Bands (25):
Bollinger Bands (100):

Technical Analysis for iShares S&P GSCI Commodity-Indexed Trust Stock

Is iShares S&P GSCI Commodity-Indexed Trust Stock a Buy?

GSG Technical Analysis vs Fundamental Analysis

Sell
46
iShares S&P GSCI Commodity-Indexed Trust (GSG) is a Sell

Is iShares S&P GSCI Commodity-Indexed Trust a Buy or a Sell?

iShares S&P GSCI Commodity-Indexed Trust Stock Info

Market Cap:
0
Price in USD:
21.23
Share Volume:
145.01K

iShares S&P GSCI Commodity-Indexed Trust 52-Week Range

52-Week High:
23.08
52-Week Low:
19.41
Sell
46
iShares S&P GSCI Commodity-Indexed Trust (GSG) is a Sell

iShares S&P GSCI Commodity-Indexed Trust Share Price Forecast

Is iShares S&P GSCI Commodity-Indexed Trust Stock a Buy?

Technical Analysis of iShares S&P GSCI Commodity-Indexed Trust

Should I short iShares S&P GSCI Commodity-Indexed Trust stock?

* iShares S&P GSCI Commodity-Indexed Trust stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.